daqapo (version 0.3.2)

detect_missing_values: Detect missing values

Description

Function detecting missing values at different levels of aggregation

• overview: presents an overview of the absolute and relative number of missing values for each column

• column: presents an overview of the absolute and relative number of missing values for a particular column

• activity: presents an overview of the absolute and relative number of missing values for each column, aggregated by activity

Usage

detect_missing_values(
  activitylog,
  level_of_aggregation,
  column,
  details,
  filter_condition
)

Value

activitylog containing the rows of the original activity log which contain a missing value

Arguments

activitylog

The activity log

level_of_aggregation

Level of aggregation at which missing values are identified (either "overview", "column" or "activity)

column

Column name of the column that needs to be analyzed when the level of aggregation is "column"

details

Boolean indicating wheter details of the results need to be shown

filter_condition

Condition that is used to extract a subset of the activity log prior to the application of the function

Examples

# \donttest{
data("hospital_actlog")
detect_missing_values(activitylog = hospital_actlog)
detect_missing_values(activitylog = hospital_actlog, level_of_aggregation = "activity")
detect_missing_values(activitylog = hospital_actlog, level_of_aggregation = "column",
     column = "triagecode")
# }